Functions, data sets, analyses and examples from the third edition of the book ”A Handbook of Statistical Analyses Using R” (Torsten Hothorn and Brian S. Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book, which is entitled ”An Introduction to R”, is completely included in this package, for all other chapters, a vignette containing all data analyses is available. In addition, Sweave source code for slides of selected chapters is included in this package (see HSAUR3/inst/slides). The publishers web page is '<https://www.routledge.com/A-Handbook-of-Statistical-Analyses-using-R/Hothorn-Everitt/p/book/9781482204582>'.
Version: | 1.0-15 |
Depends: | R (≥ 3.0.0) |
Suggests: | boot (≥ 1.3-9), lattice (≥ 0.20-23), MASS (≥ 7.3-29), mgcv (≥ 1.7-27), rpart (≥ 4.1-4), survival (≥ 2.37-4), ape (≥ 3.0-11), coin (≥ 1.1-3), flexmix (≥ 2.3-11), Formula (≥ 1.1-1), gamair (≥ 0.0.8), gamlss.data (≥ 4.2.6), gee (≥ 4.13-18), KernSmooth (≥ 2.23-10), lme4 (≥ 1.0-5), maps (≥ 2.3-6), mboost (≥ 2.2-3), mclust (≥ 4.2), mlbench (≥ 2.1-1), mice (≥ 2.18), multcomp (≥ 1.3-1), mvtnorm (≥ 0.9-9996), partykit (≥ 0.8-0), quantreg (≥ 5.05), randomForest (≥ 4.6-7), rmeta (≥ 2.16), sandwich (≥ 2.3-0), scatterplot3d (≥ 0.3-34), sf (≥ 1.0-9), sp (≥ 1.0-14), TH.data (≥ 1.0-2), tools, vcd (≥ 1.3-1), wordcloud (≥ 2.4), HSAUR2 |
Published: | 2024-08-17 |
DOI: | 10.32614/CRAN.package.HSAUR3 |
Author: | Torsten Hothorn [aut, cre], Brian S. Everitt [aut] |
Maintainer: | Torsten Hothorn <Torsten.Hothorn at R-project.org> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | TeachingStatistics |
CRAN checks: | HSAUR3 results |
Package source: | HSAUR3_1.0-15.tar.gz |
Windows binaries: | r-devel: HSAUR3_1.0-15.zip, r-release: HSAUR3_1.0-15.zip, r-oldrel: HSAUR3_1.0-15.zip |
macOS binaries: | r-release (arm64): HSAUR3_1.0-15.tgz, r-oldrel (arm64): HSAUR3_1.0-15.tgz, r-release (x86_64): HSAUR3_1.0-15.tgz, r-oldrel (x86_64): HSAUR3_1.0-15.tgz |
Old sources: | HSAUR3 archive |
Reverse imports: | boot.heterogeneity |
Reverse suggests: | lme4, MANOVA.RM, mc.heterogeneity, mlt.docreg, movMF, rstanarm, tram, tukeytrend, vcd |
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